This paper addresses the state feedback control of nonlinear continuous-time, Markovian-
jump systems. The nonlinearity is represented by Takagi–Sugeno fuzzy models and the
transition probability matrix is assumed to be partly known: some elements in the matrix are
known, some are unknown but with known lower and upper bounds, and some are
completely unknown. By making full use of the continuous property of the transition
probability matrix, new sufficient conditions for the stochastic stability of the system are …